Position Summary
We’re looking for a Product Manager focused on Data Insight & Analytics to lead the Samsung Apps Data Tracker and Reporting Dashboard. This role will play a key part in ensuring data accuracy, insight-driven decision-making, and seamless reporting for Samsung project-related initiatives.Role and Responsibilities
1. Product Ownership & Strategy
Define product vision, roadmap, and KPIs for project data tracking and reporting systems.
Lead coordination between engineering, DevOps, and compliance teams for data pipeline integration.
Translate business requirements into clear product specifications and actionable data models.
2. Data Insight & Reporting
Develop and manage dashboards that track performance, utilization, and compliance metrics.
Ensure data reliability, timeliness, and accuracy across internal and partner systems.
Identify key insights and communicate findings effectively to business stakeholders and management.
3. AI & Automation (as a plus)
Explore opportunities to apply AI/ML for reporting automation, predictive analytics, and trend summarization.
Collaborate with data scientists or AI engineers (if available) to experiment with insight enhancement models.
Stay updated on AI technologies relevant to analytics and dashboard intelligence.
4. Stakeholder Collaboration
Work closely with internal and business teams to align data insights with strategic goals.
Drive continuous improvement of reporting efficiency and user experience in dashboards.
Skills and Qualifications
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field.
Min. 4 years experience as a Product Manager, Data Product Owner, or Analytics PM.
Strong analytical skills with proficiency in data visualization tools (Power BI, Tableau, Looker, etc.).
Knowledge of data structure, ETL concepts, and data governance.
Excellent communication, presentation, and stakeholder management skills.
Preferred (Strong Plus)
Familiarity with AI concepts such as data-driven automation, LLMs, or machine learning models.
Experience in automated dashboarding, NLP-based reporting, or predictive data analysis.
Exposure to government compliance systems (TKDN, PDPA, or similar).
Fluent in English for coordination and reporting.
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